
<h1><span class="yiyi-st" id="yiyi-13">numpy.ma.row_stack</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.row_stack.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.row_stack.html</a></p>
        <p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
        <p>校对：（虚位以待）</p>
        </blockquote>
    
<dl class="data">
<dt id="numpy.ma.row_stack"><span class="yiyi-st" id="yiyi-14"> <code class="descclassname">numpy.ma.</code><code class="descname">row_stack</code><span class="sig-paren">(</span><em>tup</em><span class="sig-paren">)</span><em class="property"> = &lt;numpy.ma.extras._fromnxfunction instance&gt;</em></span></dt>
<dd><blockquote>
<div><p><span class="yiyi-st" id="yiyi-15">垂直（按行）顺序堆叠数组。</span></p>
<p><span class="yiyi-st" id="yiyi-16">取一个数组的序列，并将它们垂直堆叠以形成单个数组。</span><span class="yiyi-st" id="yiyi-17">重建数组除以<em class="xref py py-obj">vsplit</em>。</span></p>
</div></blockquote>
<table class="docutils field-list" frame="void" rules="none">
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<tr class="field-odd field"><th class="field-name"><span class="yiyi-st" id="yiyi-18">参数：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-19"><strong>tup</strong>：ndarrays的序列</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-20">包含要组合的数组的元组。</span><span class="yiyi-st" id="yiyi-21">除第一个轴外，数组必须具有相同的形状。</span></p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name"><span class="yiyi-st" id="yiyi-22">返回：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-23"><strong>堆叠</strong>：ndarray</span></p>
<blockquote class="last">
<div><p><span class="yiyi-st" id="yiyi-24">通过堆叠给定数组形成的数组。</span></p>
</div></blockquote>
</td>
</tr>
</tbody>
</table>
<div class="admonition seealso">
<p class="first admonition-title"><span class="yiyi-st" id="yiyi-25">也可以看看</span></p>
<dl class="last docutils">
<dt><span class="yiyi-st" id="yiyi-26"><code class="xref py py-obj docutils literal"><span class="pre">stack</span></code></span></dt>
<dd><span class="yiyi-st" id="yiyi-27">沿着新轴连接数组的序列。</span></dd>
<dt><span class="yiyi-st" id="yiyi-28"><a class="reference internal" href="numpy.ma.hstack.html#numpy.ma.hstack" title="numpy.ma.hstack"><code class="xref py py-obj docutils literal"><span class="pre">hstack</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-29">水平（按列顺序）堆叠数组。</span></dd>
<dt><span class="yiyi-st" id="yiyi-30"><a class="reference internal" href="numpy.ma.dstack.html#numpy.ma.dstack" title="numpy.ma.dstack"><code class="xref py py-obj docutils literal"><span class="pre">dstack</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-31">按照深度顺序（沿第三维）堆叠数组。</span></dd>
<dt><span class="yiyi-st" id="yiyi-32"><a class="reference internal" href="numpy.ma.concatenate.html#numpy.ma.concatenate" title="numpy.ma.concatenate"><code class="xref py py-obj docutils literal"><span class="pre">concatenate</span></code></a></span></dt>
<dd><span class="yiyi-st" id="yiyi-33">沿现有轴连接数组序列。</span></dd>
<dt><span class="yiyi-st" id="yiyi-34"><code class="xref py py-obj docutils literal"><span class="pre">vsplit</span></code></span></dt>
<dd><span class="yiyi-st" id="yiyi-35">垂直分割数组到多个子数组的列表。</span></dd>
</dl>
</div>
<p class="rubric"><span class="yiyi-st" id="yiyi-36">笔记</span></p>
<p><span class="yiyi-st" id="yiyi-37">该函数应用于_data和_mask（如果有）。</span></p>
<p class="rubric"><span class="yiyi-st" id="yiyi-38">例子</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">((</span><span class="n">a</span><span class="p">,</span><span class="n">b</span><span class="p">))</span>
<span class="go">array([[1, 2, 3],</span>
<span class="go">       [2, 3, 4]])</span>
</pre></div>
</div>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mi">1</span><span class="p">],</span> <span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="p">[</span><span class="mi">3</span><span class="p">]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mi">2</span><span class="p">],</span> <span class="p">[</span><span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">4</span><span class="p">]])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">vstack</span><span class="p">((</span><span class="n">a</span><span class="p">,</span><span class="n">b</span><span class="p">))</span>
<span class="go">array([[1],</span>
<span class="go">       [2],</span>
<span class="go">       [3],</span>
<span class="go">       [2],</span>
<span class="go">       [3],</span>
<span class="go">       [4]])</span>
</pre></div>
</div>
</dd></dl>
